Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

769
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
769
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

600
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
600
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.7K
VSEPR Theory for Determination of Electron Pair Geometries
45.7K
Machines01:19

Machines

576
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
576
Impact of Groups on Groups01:19

Impact of Groups on Groups

241
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
241
Movement Joints in Buildings01:27

Movement Joints in Buildings

343
Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
The simplest type of movement joints, working joints, are...
343

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Effects of 275 nm Ultraviolet Light-Emitting Diode Irradiation on Oral Bacteria In Vitro and Toothbrush Sanitization.

Microorganisms·2026
Same author

Application of Polymers in Advanced Materials for Enamel and Dentine Remineralization.

ACS biomaterials science & engineering·2026
Same author

Antimicrobial Peptide P-113-DPS Suppresses the Cariogenic Virulence of <i>Streptococcus mutans</i>.

ACS applied bio materials·2025
Same author

Berberine-Functionalized Bismuth-Doped Carbon Dots in a Pathogen-Responsive Hydrogel System: A Multifaceted Approach to Combating Periodontal Diseases.

ACS nano·2025
Same author

Authors' Reply "Effect of Adiposity Status on Salivary Streptococcus mutans and Streptococcus sobrinus." Oral Diseases. Advance Online Publication. https://doi.org/10.1111/odi.15111.

Oral diseases·2025
Same author

Nanomaterial-based synergistic strategies for combating dental caries: progress and perspectives.

Nanoscale·2024

相关实验视频

Updated: Jan 29, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

509

使用精神声学热图机器学习模型进行高级声学监测,用于预测空调建筑环境中的噪声影响.

Kuen Wai Ma1,2, Cheuk Ming Mak2, Fu-Lai Chung3

  • 1Department of Mechanical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了心理声学热图机器学习模型 (PHMLM) 来预测空调声音质量和负面噪音影响. PHMLM-EPA模型为可持续建筑设计提供了卓越的声学监测.

关键词:
声学监控监控声学监控声学监控声学监控声学监控机器学习是机器学习.噪音影响预测和预测声音的感知维度是声音的感知维度.心理声学热图的热图

更多相关视频

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

953

相关实验视频

Last Updated: Jan 29, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

509
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

953

科学领域:

  • 声学 声学 在声学方面
  • 机器学习 机器学习
  • 环境心理学 环境心理学

背景情况:

  • 空调系统对于室内环境质量至关重要,但噪音可能会损害它们的好处.
  • 声学监测对于管理来自HVAC系统的噪音污染至关重要.
  • 声音质量感知是通过三个心理维度来理解的:评估,效力和活动 (EPA).

研究的目的:

  • 开发新的精神声学热图机器学习模型 (PHMLM) 来预测声音质量.
  • 评估空调声音的负面噪音影响 (不舒服,烦人,压力,不可接受).
  • 评估PHMLM-EPA与传统回归模型 (TRM) 和L_Aeq指标的性能.

主要方法:

  • 进行了1208个陪审团听力测试,其中101名参与者在空调配音带上听.
  • 从时间变化的精神声学指标 (N,S,R,FS) 生成了 227 × 227 像素的精神声学热图.
  • 利用PHMLM-EPA模型与精神声学热图作为机器学习预测的输入.

主要成果:

  • PHMLMs实现了高预测性能,相关系数为0.79 (E),0.80 (P) 和0.62 (A).
  • PHMLM-EPA的性能明显优于TRM,平均绝对误差低31%,回归斜率更高.
  • 与TRM (+55%至+95%) 和L_Aeq (+87%至+95%) 相比,PHMLM-EPA显示出更好的适合性.

结论:

  • 心理声学热图机器学习模型为空调系统的声学监控提供了一种先进的方法.
  • 这种方法提高了声音质量和负面噪音影响的预测.
  • 开发的模型通过改善室内环境质量管理来支持可持续的建筑设计.